How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?

19 November 2015

Papers citing "How much data is needed to train a medical image deep learning system to achieve necessary high accuracy?"

28 / 28 papers shown

Title
Shape Modeling of Longitudinal Medical Images: From Diffeomorphic Metric Mapping to Deep Learning Edwin Tay Nazli Tümer Amir A. Zadpoor MedIm 52 0 0 27 Mar 2025
Lung-DDPM: Semantic Layout-guided Diffusion Models for Thoracic CT Image Synthesis Yifan Jiang Yannick Lemaréchal Josée Bafaro Jessica Abi-Rjeile Philippe Joubert Philippe Després Venkata Manem MedIm DiffM 44 1 0 24 Feb 2025
How much data do I need? A case study on medical data Ayse Betul Cengiz A. Mcgough 19 2 0 26 Nov 2023
Pretrained ViTs Yield Versatile Representations For Medical Images Christos Matsoukas Johan Fredin Haslum Magnus P Soderberg Kevin Smith MedIm ViT 27 11 0 13 Mar 2023
Diffusion Probabilistic Models beat GANs on Medical Images Gustav Muller-Franzes J. Niehues Firas Khader Soroosh Tayebi Arasteh Christoph Haarburger ... Tian Wang T. Han S. Nebelung Jakob Nikolas Kather Daniel Truhn DiffM MedIm 27 91 0 14 Dec 2022
Navigating causal deep learning Jeroen Berrevoets Krzysztof Kacprzyk Zhaozhi Qian M. Schaar CML 41 2 0 01 Dec 2022
Does Deep Learning REALLY Outperform Non-deep Machine Learning for Clinical Prediction on Physiological Time Series? Ke Liao Wei Wang A. Elibol L. Meng Xu Zhao N. Chong OOD 38 1 0 11 Nov 2022
How many radiographs are needed to re-train a deep learning system for object detection? Raniere Silva Khizar Hayat Christopher Riggs M. Doube MedIm 26 0 0 17 Oct 2022
Revisiting Neural Scaling Laws in Language and Vision Ibrahim M. Alabdulmohsin Behnam Neyshabur Xiaohua Zhai 159 102 0 13 Sep 2022
Lirot.ai: A Novel Platform for Crowd-Sourcing Retinal Image Segmentations Jonathan Fhima Jan Van Eijgen Moti Freiman Ingeborg Stalmans Joachim A. Behar 24 4 0 22 Aug 2022
Maintaining Performance with Less Data Dominic Sanderson Tatiana Kalgonova 33 1 0 03 Aug 2022
A Review of Published Machine Learning Natural Language Processing Applications for Protocolling Radiology Imaging Nihal Raju Michael Woodburn S. Kachel Jack O’Shaughnessy Laurence Sorace Natalie Yang Ruth P. Lim LM&MA 8 1 0 23 Jun 2022
Is More Data All You Need? A Causal Exploration Athanasios Vlontzos Hadrien Reynaud Bernhard Kainz CML 29 2 0 06 Jun 2022
Deep Learning for Ultrasound Speed-of-Sound Reconstruction: Impacts of Training Data Diversity on Stability and Robustness Farnaz Khun Jush M. Biele P. Dueppenbecker Andreas Maier OOD 22 14 0 01 Feb 2022
Learning Curves for Decision Making in Supervised Machine Learning: A Survey F. Mohr Jan N. van Rijn 41 53 0 28 Jan 2022
Human Age Estimation from Gene Expression Data using Artificial Neural Networks S. Mohamadi Gianfranco Doretto Nasser M. Nasrabadi Donald Adjeroh 14 5 0 04 Nov 2021
Challenges for machine learning in clinical translation of big data imaging studies Nicola K. Dinsdale Emma Bluemke V. Sundaresan M. Jenkinson Stephen Smith Ana I. L. Namburete AI4CE 37 41 0 07 Jul 2021
Meta-learning Amidst Heterogeneity and Ambiguity Kyeongryeol Go Seyoung Yun 32 1 0 05 Jul 2021
*-CFQ: Analyzing the Scalability of Machine Learning on a Compositional Task Dmitry Tsarkov Tibor Tihon Nathan Scales Nikola Momchev Danila Sinopalnikov Nathanael Scharli 18 17 0 15 Dec 2020
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring S. Shahinfar P. Meek G. Falzon 22 151 0 16 Oct 2020
Image Deconvolution via Noise-Tolerant Self-Supervised Inversion H. Kobayashi A. Solak Joshua D. Batson Loic A. Royer 16 13 0 11 Jun 2020
Med-BERT: pre-trained contextualized embeddings on large-scale structured electronic health records for disease prediction L. Rasmy Yang Xiang Z. Xie Cui Tao Degui Zhi AI4MH LM&MA 24 656 0 22 May 2020
Machine Learning Techniques for Biomedical Image Segmentation: An Overview of Technical Aspects and Introduction to State-of-Art Applications Hyunseok Seo M. B. Khuzani V. Vasudevan Charles Huang Hongyi Ren Ruoxiu Xiao Xiao Jia Lei Xing VLM 24 218 0 06 Nov 2019
A Constructive Prediction of the Generalization Error Across Scales Jonathan S. Rosenfeld Amir Rosenfeld Yonatan Belinkov Nir Shavit 36 205 0 27 Sep 2019
SUSAN: Segment Unannotated image Structure using Adversarial Network Fang Liu GAN MedIm 42 56 0 03 Dec 2018
Improving brain computer interface performance by data augmentation with conditional Deep Convolutional Generative Adversarial Networks Qiqi Zhang Yating Liu GAN OOD 30 58 0 19 Jun 2018
Opening the Black Box of Deep Neural Networks via Information Ravid Shwartz-Ziv Naftali Tishby AI4CE 38 1,387 0 02 Mar 2017
Deep Learning in Bioinformatics Seonwoo Min Byunghan Lee Sungroh Yoon AI4CE 3DV 36 1,351 0 21 Mar 2016